humanlayer/12-factor-agents resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

25510 stars · 1935 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A guide of twelve principles for building reliable, production-grade LLM-powered agent applications, inspired by 12 Factor Apps. It includes explanatory content, examples, and a scaffolding tool (create-12-factor-agent) written in TypeScript.

Use cases

• learn how to build production-ready LLM agents
• principles for designing reliable AI agent software
• understand context window management for LLM apps
• decide whether to use an agent framework or roll my own stack
• best practices for putting LLM features in front of customers
• context engineering techniques for agents

When to choose

• you are designing or reviewing an LLM-powered product architecture
• you want framework-agnostic principles rather than a specific library
• you are evaluating agent frameworks and want to know why teams roll their own

When to avoid

• you need a ready-made runtime framework or SDK rather than guidance
• you want a turnkey agent product with no implementation work
• you need guaranteed long-term maintenance, as it is primarily an evolving methodology document

Facets

learning-resource · maturity active

agent-framework prompt-engineering rag llm-inference large-language-models developer-tools tutorials cross-platform 12-factor context-engineering llm-applications production-ai agent-design-principles methodology ai-agents nodejs typescript

Member repositories

For agents

markdown · JSON · MCP: product_card(name="humanlayer/12-factor-agents")